01514503

Component

This paper investigates the relationship between the red light running phenomena and traffic parameters in the vicinity of intersections. Data were collected on two intersections in Central Florida for a period of nine months using traffic monitoring cameras acquired from ITERIS. Collected data included traffic characteristics, signal timing data, as well as the frequency of red light running seven days a week twenty-four hours a day. Using Augmented Multivariate Adaptive Regression Splines (MARS), a recursive non-parametric regression technique, it was determined that traffic volume, average speed, percentage time green, and percentage large vehicles in the traffic composition were strongly associated with red light running. It was also observed that vehicular volume and percentage large vehicles have an interactive relationship with red-light running. Increase in percentage in traffic volume is associated with an increase in the red light running.

This paper was sponsored by TRB committee ANB20 Safety Data, Analysis and Evaluation. Alternate title: Traffic Operation Factors Related to Red-Light Running: Empirical Analysis.

01503729

14-1061

English

14p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Data collection; Highway operations; Red light running; Signalized intersections; Traffic volume

Multivariate Adaptive Regression Splines (MARS)

Large vehicles

Central Florida

Highways; Operations and Traffic Management; I73: Traffic Control

Transportation Research Board Annual Meeting 2014 Paper #14-1061

TRIS, TRB, ATRI

Jan 27 2014 2:25PM